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Conversational Ai Designer Jobs (NOW HIRING)

Sr AI Architect - Conversational AI

$132K - $180K/yr

Experience designing evaluation frameworks that specifically measure context quality * Track record of designing and implementing enterprise-scale ML/AI Ops platforms * Experience working in a ...

Conversation Designer

New York, NY · On-site

$180K - $220K/yr

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver ... designer, product manager, applied linguistics, etc.) * Hands-on experience with voice ...

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Conversational Ai Designer information

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$35.5K

$83.1K

$110K

How much do conversational ai designer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for conversational ai designer in the United States is $83,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is a Conversational AI Designer?

A Conversational AI Designer is a professional who creates and optimizes the user experience for AI-powered chatbots, virtual assistants, and voice interfaces. They design the flow of conversations, write dialogue, and ensure that users can interact naturally and effectively with AI systems. Their work involves understanding user needs, applying best practices in conversational UX, and collaborating with developers and stakeholders to deliver intuitive, human-like interactions. Conversational AI Designers often use specialized tools and frameworks to build and test these interactions across various platforms.

What are the key skills and qualifications needed to thrive as a Conversational AI Designer?

To thrive as a Conversational AI Designer, you need a solid grasp of linguistics, UX/UI principles, and conversational flow design, often supported by experience in computational linguistics or human-computer interaction. Familiarity with chatbot development platforms (like Dialogflow or Microsoft Bot Framework), prototyping tools, and understanding of natural language processing (NLP) systems is typically required. Strong creativity, empathy, and communication skills help designers create user-centric, engaging, and intuitive conversational experiences. These skills are crucial for building effective AI interactions that enhance user satisfaction and achieve business goals.

What are some common challenges Conversational AI Designers face when designing chatbot interactions for diverse user groups?

Conversational AI Designers often encounter challenges in creating chatbot interactions that are both intuitive and accessible for a wide range of users. Factors such as varying communication styles, language nuances, and differing levels of tech-savviness can impact user experience. Designers must also ensure that conversations are inclusive and handle edge cases gracefully, balancing business goals with user needs. Regular user testing and iterating on feedback are key strategies to overcome these challenges and improve conversation flow.

What is the difference between Conversational Ai Designer vs Chatbot Developer?

AspectConversational Ai DesignerChatbot Developer
Required SkillsUX design, natural language processing, AI toolsProgramming, scripting, API integration
Work EnvironmentDesign-focused, collaborative with AI teamsDevelopment-focused, coding and testing
Industry UsageAI companies, tech firms, customer experienceSoftware firms, startups, enterprise solutions
CertificationsAI, UX design, NLP certificationsProgramming languages, AI development courses

While both roles involve working with conversational systems, the Conversational Ai Designer primarily focuses on designing user interactions and experience using AI tools, whereas the Chatbot Developer concentrates on coding and implementing chatbot functionalities. The designer emphasizes UX and NLP, while the developer emphasizes programming and technical integration.

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Infographic showing various Conversational Ai Designer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $83,148 per year, or $40 per hour.

Chatbot, Conversational AI Engineer

Manhattan, NY • On-site

Euclid Innovations
IT Services • 501 - 1,000 employees

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Euclid Innovations is seeking a motivated Chatbot / Conversational AI Engineer to join their Application Infrastructure team. The successful candidate will participate in all aspects of software development, working closely with chatbot experts, developers, and internal clients to implement chatbot solutions.
Responsibilities:
• Act as a subject matter expert on the chatbot platform
• Develop integrations in Python and Groovy that enable virtual agents to interoperate with various systems
• Participate in every phase of the Software Development Lifecycle
• Create Generative Artificial Intelligence solutions and drive their adoption
• Understand, refine, and translate customer requirements into working software
• Create and enhance various utilities that support the chatbot platform
• Lead design and code reviews
• Work closely with a global team of engineers, SREs, and conversational AI experts
• Identify automation opportunities and lead the way in addressing them
• Train and refine intent detection models
• Continuous Improvement of production virtual agents
• Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation
• Support POCs and product demonstrations
Qualifications:
Required:
• Strong knowledge of software design and best practices
• Deep experience with Python coding and development
• Experience with JavaScript and Node.js and other software development frameworks and libraries
• Demonstrated knowledge and interest in Generative Artificial Intelligence / LLMs, model training, fine tuning and related APIs
• Familiarity with CI/CD practices and experience with GitHub and Jenkins
• Excellent written and verbal communication skills
• Deep experience with Agile development practices such as Scrum
• Strong background in Linux
• Solid understanding of NLP and Artificial Intelligence / Machine Learning concepts
Preferred:
• Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore.ai, Microsoft Copilot Studio or similar platform
• Sourcing and labeling training data for ML models
• Experience in generative Artificial Intelligence, and LLMs
• Familiarity with DevOps practices
• Knowledge of Docker, Kubernetes
• Experience with cloud platforms such as AWS and Azure
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.